SYMBOL INDEX (32 symbols across 9 files)

FILE: TensorFlow_v1/cifar.py
  function train_test_split (line 5) | def train_test_split(x, y, train_fraction=0.9):
  class CIFAR10 (line 21) | class CIFAR10(object):
    method __init__ (line 22) | def __init__(self, train_fraction=0.9):

FILE: TensorFlow_v1/cnn.py
  class CNN (line 14) | class CNN(object):
    method __init__ (line 15) | def __init__(self, input_size, num_classes, optimizer):
    method network (line 39) | def network(self, input, dropout_rate):
    method network_initializer (line 128) | def network_initializer(self):
    method loss_initializer (line 136) | def loss_initializer(self):
    method optimizer_initializer (line 145) | def optimizer_initializer(self):
    method train (line 156) | def train(self, data, label, learning_rate, dropout_rate):
    method validate (line 168) | def validate(self, data, label):
    method test (line 178) | def test(self, data):
    method save (line 188) | def save(self, directory, filename):
    method save_signature (line 196) | def save_signature(self, directory):
    method save_as_pb (line 220) | def save_as_pb(self, directory, filename):
    method load (line 264) | def load(self, filepath):

FILE: TensorFlow_v1/inspect_signature.py
  function retrieve_model_data_info (line 5) | def retrieve_model_data_info(saved_model_path):

FILE: TensorFlow_v1/main.py
  function train (line 11) | def train(learning_rate, learning_rate_decay, dropout_rate, mini_batch_s...
  function test (line 97) | def test(model_file):
  function main (line 122) | def main():

FILE: TensorFlow_v1/test_pb.py
  class CNN (line 12) | class CNN(object):
    method __init__ (line 13) | def __init__(self, model_filepath):
    method load_graph (line 20) | def load_graph(self, model_filepath):
    method test (line 73) | def test(self, data):
  function test_from_frozen_graph (line 86) | def test_from_frozen_graph(model_filepath):
  function main (line 112) | def main():

FILE: TensorFlow_v1/utils.py
  function model_accuracy (line 7) | def model_accuracy(label, prediction):
  function plot_curve (line 13) | def plot_curve(train_losses,

FILE: TensorFlow_v2/example_1.py
  function main (line 9) | def main():

FILE: TensorFlow_v2/example_2.py
  function main (line 8) | def main():

FILE: TensorFlow_v2/utils.py
  function get_fashion_mnist_data (line 6) | def get_fashion_mnist_data():
  function wrap_frozen_graph (line 21) | def wrap_frozen_graph(graph_def, inputs, outputs, print_graph=False):